Sensors positions
There were 9 different experiment corresponding to different
geometrical structure of exchanges between sensors. These experiments
are represented in the following figure (Figure 1) :
Analysis of data
For each experiment, the position of each sensor is described as the
mean +/- sd of their x, y and z values. These mean positions are stored
in a list for each experiment and used to construct 3D plots of each
sensor position.
Results
Tables of means +/- sd x, y, z positions for each sensor at each
experiment
_validation tests_test_banc_516_20_position3d.csv
|
sensor
|
mean_x
|
sd_x
|
mean_y
|
sd_y
|
mean_z
|
sd_z
|
|
100
|
2.764704
|
0.0290412
|
1.145128
|
0.0349278
|
3.9024557
|
0.0489330
|
|
116
|
3.757055
|
0.0353763
|
1.287583
|
0.0286683
|
3.8295448
|
0.0442411
|
|
255
|
3.355336
|
0.0029041
|
1.295569
|
0.0482881
|
3.9185150
|
0.0426280
|
|
436
|
3.926876
|
0.0190089
|
1.129928
|
0.0244818
|
3.8768048
|
0.0277123
|
|
449
|
3.561531
|
0.0126671
|
1.212251
|
0.0388737
|
3.9522487
|
0.0576824
|
|
3008
|
2.940950
|
0.0178115
|
1.086868
|
0.0356895
|
3.9839767
|
0.0390408
|
|
3310
|
3.149653
|
0.0159596
|
1.564077
|
0.0233314
|
0.5497586
|
0.0229993
|
_validation tests_test_hexa_1000mm_position3d.csv
|
sensor
|
mean_x
|
sd_x
|
mean_y
|
sd_y
|
mean_z
|
sd_z
|
|
100
|
2.812736
|
0.0108797
|
0.7624888
|
0.0522434
|
4.3764925
|
0.0639524
|
|
116
|
4.822824
|
0.0550450
|
0.9417785
|
0.0468361
|
4.2102541
|
0.0445432
|
|
255
|
3.853636
|
0.0698579
|
0.0874060
|
0.0507150
|
4.1047866
|
0.0744130
|
|
436
|
3.764684
|
0.0055016
|
1.3328056
|
0.0482116
|
4.5623855
|
0.0457083
|
|
449
|
4.713020
|
0.0443169
|
1.9486675
|
0.0612380
|
4.5356739
|
0.0587081
|
|
3008
|
2.822264
|
0.0406773
|
1.7111656
|
0.0427996
|
4.7490022
|
0.0471860
|
|
3310
|
3.843793
|
0.0285507
|
3.0116385
|
0.0325571
|
0.1517874
|
0.0560827
|
_validation tests_test_hexa_150mm_position3d.csv
|
sensor
|
mean_x
|
sd_x
|
mean_y
|
sd_y
|
mean_z
|
sd_z
|
|
100
|
2.501545
|
0.0211449
|
0.8392764
|
0.0607993
|
4.4539436
|
0.0509052
|
|
116
|
2.901938
|
0.0031351
|
0.8276735
|
0.0187494
|
4.3186478
|
0.0415442
|
|
255
|
2.653749
|
0.0180602
|
0.6941909
|
0.0511404
|
4.4987304
|
0.0439493
|
|
436
|
2.808417
|
0.0068143
|
0.9505693
|
0.0212559
|
4.4432845
|
0.0769522
|
|
449
|
2.924737
|
0.0136025
|
1.0893366
|
0.0407295
|
4.5428563
|
0.0552602
|
|
3008
|
2.514746
|
0.0080637
|
0.8279182
|
0.0645808
|
4.4704557
|
0.0495762
|
|
3310
|
2.617181
|
0.0351648
|
1.5103589
|
0.0783469
|
-0.0121812
|
0.0481544
|
_validation tests_test_hexa_300mm_position3d.csv
|
sensor
|
mean_x
|
sd_x
|
mean_y
|
sd_y
|
mean_z
|
sd_z
|
|
100
|
3.357897
|
0.0226948
|
1.2499751
|
0.0459102
|
4.5720369
|
0.0573869
|
|
116
|
3.903544
|
0.0101974
|
1.2794764
|
0.0340797
|
4.5086009
|
0.0356462
|
|
255
|
3.727984
|
0.0266732
|
0.9601817
|
0.0485282
|
4.5573522
|
0.0717773
|
|
436
|
3.539996
|
0.0512492
|
1.3616282
|
0.0787004
|
4.5839150
|
0.0579764
|
|
449
|
3.923349
|
0.0217106
|
1.3593598
|
0.0207331
|
4.6973414
|
0.0464197
|
|
3008
|
3.490395
|
0.0276789
|
1.7570831
|
0.0161918
|
4.6842694
|
0.0433082
|
|
3310
|
3.729201
|
0.0281826
|
2.3795158
|
0.0443889
|
0.0889439
|
0.0451942
|
_validation tests_test_ligne_sol_10_position3d.csv
|
sensor
|
mean_x
|
sd_x
|
mean_y
|
sd_y
|
mean_z
|
sd_z
|
|
100
|
2.126689
|
0.0307549
|
0.9486915
|
0.0420417
|
4.3927023
|
0.0496740
|
|
116
|
2.668121
|
0.0155060
|
0.9815030
|
0.0428437
|
4.4776781
|
0.0575065
|
|
255
|
2.449434
|
0.0426000
|
0.9939865
|
0.0530741
|
4.5982951
|
0.0573403
|
|
436
|
2.794225
|
0.0220812
|
1.1649789
|
0.0459587
|
4.5888884
|
0.0476202
|
|
449
|
2.494602
|
0.0356559
|
1.0889936
|
0.0530280
|
4.5193883
|
0.0799993
|
|
3008
|
2.278398
|
0.0176812
|
0.7770745
|
0.0556226
|
4.5439384
|
0.0385095
|
|
3310
|
2.393823
|
0.0287350
|
1.5983624
|
0.0541210
|
-0.0880601
|
0.0424154
|
_validation tests_test_ligne_sol_15_position3d.csv
|
sensor
|
mean_x
|
sd_x
|
mean_y
|
sd_y
|
mean_z
|
sd_z
|
|
100
|
1.595185
|
0.0462728
|
1.2604119
|
0.0620677
|
4.3533964
|
0.0328158
|
|
116
|
2.455342
|
0.0645793
|
1.0499303
|
0.0626752
|
4.4843659
|
0.0484096
|
|
255
|
2.131036
|
0.0557465
|
0.9975273
|
0.0817328
|
4.3992737
|
0.0530422
|
|
436
|
2.626329
|
0.0365414
|
1.0240452
|
0.0441171
|
4.5453852
|
0.0501229
|
|
449
|
2.346152
|
0.0386883
|
0.9910674
|
0.0637375
|
4.5557467
|
0.0444934
|
|
3008
|
1.792827
|
0.0570542
|
1.0626679
|
0.0606789
|
4.3483325
|
0.0513604
|
|
3310
|
2.016676
|
0.0279212
|
1.5971342
|
0.0271945
|
0.0494599
|
0.0216823
|
_validation tests_test_ligne_sol_30_position3d.csv
|
sensor
|
mean_x
|
sd_x
|
mean_y
|
sd_y
|
mean_z
|
sd_z
|
|
100
|
1.635527
|
0.0312653
|
1.2732140
|
0.0540866
|
4.3842597
|
0.0321541
|
|
116
|
3.312649
|
0.0328660
|
0.8666348
|
0.0427861
|
4.6099050
|
0.0622555
|
|
255
|
2.627174
|
0.0103003
|
1.0612673
|
0.0133279
|
4.5540674
|
0.0593142
|
|
436
|
3.603676
|
0.0225731
|
0.9687466
|
0.0565814
|
4.6306697
|
0.0620424
|
|
449
|
2.932553
|
0.0311813
|
0.9385995
|
0.0439456
|
4.6469099
|
0.0356557
|
|
3008
|
1.931228
|
0.0465065
|
1.0672275
|
0.0703825
|
4.3580940
|
0.0402495
|
|
3310
|
2.337991
|
0.0327308
|
1.6641896
|
0.0471515
|
-0.0634381
|
0.0270201
|
_validation tests_test_ligne_sol_50_position3d.csv
|
sensor
|
mean_x
|
sd_x
|
mean_y
|
sd_y
|
mean_z
|
sd_z
|
|
100
|
1.641318
|
0.0471806
|
1.2339220
|
0.0707023
|
4.3602634
|
0.0435603
|
|
116
|
4.409685
|
0.0397757
|
1.1527785
|
0.0536041
|
4.2825308
|
0.0153446
|
|
255
|
3.320725
|
0.0318042
|
0.8883387
|
0.0476338
|
4.6473161
|
0.0369833
|
|
436
|
5.078620
|
0.0497940
|
1.1109998
|
0.0513218
|
4.1215376
|
0.1058368
|
|
449
|
3.837337
|
0.0213973
|
0.9908899
|
0.0345242
|
4.5733078
|
0.0461560
|
|
3008
|
2.201015
|
0.0365706
|
0.8814425
|
0.0567458
|
4.4909232
|
0.0587161
|
|
3310
|
2.778897
|
0.0193464
|
1.6944885
|
0.0297285
|
-0.0323031
|
0.0380108
|
_validation tests_test_ligne_sol_6_position3d.csv
|
sensor
|
mean_x
|
sd_x
|
mean_y
|
sd_y
|
mean_z
|
sd_z
|
|
100
|
3.605547
|
0.0324191
|
0.9741807
|
0.0523500
|
4.6276272
|
0.0976383
|
|
116
|
3.842073
|
0.0133120
|
1.0379823
|
0.0423026
|
4.5510214
|
0.0577873
|
|
255
|
3.728209
|
0.0095198
|
1.0282678
|
0.0310315
|
4.6018441
|
0.0436741
|
|
436
|
3.960541
|
0.0197692
|
1.0201435
|
0.0833597
|
4.5344053
|
0.0838957
|
|
449
|
3.813622
|
0.0336130
|
0.9505933
|
0.0850886
|
4.6385947
|
0.0995386
|
|
3008
|
3.681507
|
0.0375171
|
0.9294848
|
0.0573703
|
4.6604902
|
0.0620327
|
|
3310
|
3.694289
|
0.0304056
|
1.5430048
|
0.0148000
|
-0.1295655
|
0.0467304
|
3D graphs
As we can see on these graphs, sensor 3310 tends to be misplaced
especially on the z-axis Further data exploration should be undertaken
for example to exclude data situated at the beginning and end of
recording sessions or verify how sensor 3310 behave during further
experimental procedures.